This role pays less than
75%
of similar roles. Most pay
$148,536–$231,437
— the shaded band above.
At the midpoint, this role pays about
$148k
versus about
$190k
for comparable roles.
Based on 240 similar postings.
Employer
About Caterpillar
Caterpillar Inc. is the world''s largest manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. Industry: Heavy Equipment & Manufacturing
Caterpillar currently has
135 open roles
on FindRole.
Listed pay typically runs
$117,049–$183,140
across 128 roles with salary data.
The Senior Autonomy Engineer joins a small robotics team to develop cutting-edge autonomous and operator-assisted driving systems for mobile off-road machines. The role involves designing, implementing, and testing algorithms while collaborating with researchers to integrate solutions into software stacks and hardware platforms. Key responsibilities include documenting architecture specifications, analyzing customer experience data, and debugging software to ensure machine safety and productivity. Candidates must possess expertise in computer vision, machine learning, deep learning, and sensors like lidar, radar, and cameras. Required technical skills include C++, Python, ROS, OpenCV, Tensorflow, PyTorch, and AWS tools. The engineer will utilize standard development tools such as CMake, Git, Docker, and SonarQube within an Agile lifecycle to solve complex problems for autonomous machine programs in mining and construction.
Design, implement, and test algorithms for autonomous and operator-assisted driving systems.
Develop high-quality software to solve specific customer needs for mobile off-road machines.
Document architecture specifications, software designs, verification plans, and safety procedures.
Collect and analyze customer experience data on robotic and manned platforms.
Debug, test, and maintain software using standard development tools and frameworks.
Integrate autonomy solutions into the existing software stack and hardware platform.
Solve complex technical issues spanning multiple subsystems of the mobile robot.
What we're looking for
Requires a degree or multiple degrees in Engineering, Computer Science, Robotics, or a related field.
Must have working knowledge of mobile robotics for autonomy, including computer vision, machine learning, deep learning, lidar, radar, and cameras.
Must have extensive experience in the Agile software development life cycle using C++, Python, and tools like CMake, Git, SonarQube, Docker, and GoogleTest.
Must have experience with ROS, OpenCV, Tensorflow/PyTorch, and cloud compute tools like AWS EC2, S3, and Batch.
Must have extensive experience developing, integrating, or testing complex autonomy systems for mobile robotics.
Must have proven ability to design, write, test, and review autonomy and advanced operator assist software.
Must have strong mathematics skills and excellent communication and teamwork skills.
Proven experience supporting Product Development for on-road/off-road software engineering projects (preferred).
C++
Python
Embedded Linux
HIL
SIL
CAN
Ethernet
CUDA
TensorRT
MATLAB
Simulink
GTest
Computer Vision
Machine Learning
ISO 21448
SOTIF
CANoe
CANalyzer
CANape
ETAS INCA
Systems Engineering
Software Development Life Cycle
HIL
Embedded Systems
Robotics
Autonomy
System Integration
Site Technology
Product Testing
Technical Troubleshooting
architecture, design
Field Testing